LiDAR
Light Detection and Ranging; a remote sensing technology that uses laser pulses to measure the distance and three-dimensional shape of targets. It is widely applied in fields including archaeology, surveying and mapping, and autonomous driving.
Timeline (last 90 days)
Web pages can usually only access the camera feed, whereas native apps can call on LiDAR, IMU, gyroscope and the like for precise spatial tracking.
It is an industry consensus that LiDAR is a core sensor in autonomous driving perception systems and that its performance degrades significantly in adverse weather.
Once covered with snow, the surface becomes diffusely reflective, laser energy scatters in all directions, and the receiver can capture more valid return signals.
Vehicle surfaces in dry conditions exhibit strong specular reflection properties, and laser beams may be reflected in non-receiving directions, resulting in missing point clouds.
Evaluating perception systems using only coarse-grained binning by weather severity without considering object-level data leads to misleading conclusions about detector robustness.
The heavier the snowfall, the more point cloud points land on the surfaces of objects such as vehicles, providing the detector with richer geometric information.
Evaluation based on the WADS-3D and CADC datasets found that object detection accuracy continuously improves as snowfall intensity increases.
Snowfall as noise has a negative impact on LiDAR detection, but this negative effect is offset by a significant increase in the number of object point clouds.
Copernicus DEM has a resolution of approximately 10 meters, and LiDAR-collected data can reach sub-meter level.
The developer recorded an 11-minute video to achieve depth inference and 3D reconstruction of a scene, without using LiDAR, dedicated depth sensors, or multi-camera calibration
16 more timeline events
All Facts (20)
点云（Point Cloud）是由激光雷达（LiDAR）或深度相机采集的三维空间坐标集合
95%UnverifiediPhone 12 Pro and later models are equipped with a LiDAR scanner, which can quickly generate a 3D mesh of a room.
60%UnverifiedApple Vision Pro is equipped with a LiDAR depth sensor, a high-resolution Micro-OLED display, and an M2 chip.
60%UnverifiedWeb pages can usually only access the camera feed, whereas native apps can call on LiDAR, IMU, gyroscope and the like for precise spatial tracking.
50%UnverifiedOnce covered with snow, the surface becomes diffusely reflective, laser energy scatters in all directions, and the receiver can capture more valid return signals.
50%UnverifiedIt is an industry consensus that LiDAR is a core sensor in autonomous driving perception systems and that its performance degrades significantly in adverse weather.
50%UnverifiedEvaluation based on the WADS-3D and CADC datasets found that object detection accuracy continuously improves as snowfall intensity increases.
50%UnverifiedSnowfall as noise has a negative impact on LiDAR detection, but this negative effect is offset by a significant increase in the number of object point clouds.
50%UnverifiedThe heavier the snowfall, the more point cloud points land on the surfaces of objects such as vehicles, providing the detector with richer geometric information.
50%UnverifiedEvaluating perception systems using only coarse-grained binning by weather severity without considering object-level data leads to misleading conclusions about detector robustness.
50%UnverifiedVehicle surfaces in dry conditions exhibit strong specular reflection properties, and laser beams may be reflected in non-receiving directions, resulting in missing point clouds.
50%UnverifiedCopernicus DEM has a resolution of approximately 10 meters, and LiDAR-collected data can reach sub-meter level.
50%UnverifiedThe X50 Ultra is equipped with a suspension system that can dynamically adjust its height, combined with LiDAR and structured light sensors to achieve cross-step capability.
50%UnverifiedWaymo's sensor suite consists of a multimodal fusion system combining LiDAR, cameras, and radar.
50%UnverifiedThe perception layer relies on fused inputs from LiDAR, cameras, and millimeter-wave radar, with object recognition performed by deep convolutional neural networks.
50%UnverifiedPure photogrammetry solutions have the lowest cost but take longer, while mobile devices equipped with LiDAR have an advantage in speed and convenience but slightly inferior absolute accuracy compared to professional laser scanning
50%UnverifiedLiDAR directly generates precise 3D point cloud data by emitting laser pulses and measuring reflection time, is insensitive to lighting conditions, and can operate reliably in darkness, rain, or fog.
50%UnverifiedCompetitors such as Waymo use LiDAR-based solutions.
50%UnverifiedCompared to LiDAR solutions, Tesla's vision-only solution has lower costs and simpler hardware, with per-vehicle hardware costs potentially thousands of dollars lower than LiDAR solutions.
50%UnverifiedCore differentiating features of the Pro series include a ProMotion adaptive refresh rate display (supporting 1Hz to 120Hz), ProRAW/ProRes professional imaging format support, and a LiDAR scanner.
50%